可再生能源配电网中插电式电动车停车场的提供策略

F. A. S. Gil, M. Shafie‐khah, A. W. Bizuayehu, J. Catalão
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引用次数: 6

摘要

本文研究了可再生能源的类型、规模和布局对插电式电动汽车(PEV)停车场提供策略的影响。为此,提出了一个随机规划模型来优化能源和储备市场中电动汽车停车场的行为,并考虑了与RESs的相互作用。在此基础上,将PEV停车场建模为由风电和光伏发电机组组成的配电系统。该随机模型包含电动汽车车主行为、风电和光伏发电的不确定性特征。通过对若干数值研究的分析,揭示了RESs因素对停车场最优供给策略的影响。
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Offering strategy of a Plug-in Electric Vehicle parking lot in renewable-based distribution networks
In this paper, the impacts of type, size and placement of renewable energy resources (RERs) on the offering strategy of Plug-in Electric Vehicle (PEV) parking lots is investigated. To this end, a stochastic programming model is proposed to optimize the behavior of a PEV parking lot in energy and reserve markets, considering the interaction with RESs. On this basis, the PEV parking lot is modeled in a distribution system consisting of wind and photovoltaic power producers. Moreover, the stochastic model consists of uncertainty characteristics of PEV owners' behavior, wind and photovoltaic power generation. Several numerical studies are analyzed to indicate how the factors of the RESs affect the optimal offering strategy of the parking lots.
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